Algorithmic game theory

Related lectures (8)

Covers potential games, best response dynamics, and the convergence to Nash equilibria.

Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.

Provides guidance on project proposals in game theory, showcasing past examples and emphasizing problem formulation and mathematical modeling.

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Presents a literature review on gamification in education, exploring its evolution, potential benefits, and negative effects on learners.

Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.

Explores challenges in designing systems with untrustworthy components, focusing on verification, control, and interaction in unreliable systems.

Explores Quadratic Penalty Methods for optimization with enforced constraints using penalty functions.

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